Evidence map›Paper›PMID 35672983›Full record

ArticleStudies in health technology and informatics2022

Identifying and Reconciling Patients' Allergy Information Within the Electronic Health Record.

Sachin Vallamkonda, Carlos A Ortega, Ying Chih Lo, Suzanne V Blackley, Liqin Wang, Diane L Seger, Kimberly G Blumenthal, Joseph M Plasek, Foster Goss, Li Zhou

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Building an allergy reconciliation module to eliminate allergy discrepancies in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sachin VallamkondaDivision of General Internal Medicine & Primary Care, Brigham & Women's Hospital, Boston, MA, USA.
Carlos A OrtegaDivision of General Internal Medicine & Primary Care, Brigham & Women's Hospital, Boston, MA, USA.
Ying Chih LoDivision of General Internal Medicine & Primary Care, Brigham & Women's Hospital, Boston, MA, USA.
Suzanne V BlackleyClinical & Quality Analysis, Information Systems, Mass General Brigham, Boston, MA, USA.
Liqin WangDivision of General Internal Medicine & Primary Care, Brigham & Women's Hospital, Boston, MA, USA.
Diane L SegerClinical & Quality Analysis, Information Systems, Mass General Brigham, Boston, MA, USA.
Kimberly G BlumenthalHarvard Medical School, Boston, MA, USA.
Joseph M PlasekDivision of General Internal Medicine & Primary Care, Brigham & Women's Hospital, Boston, MA, USA.
Foster GossDepartment of Emergency Medicine, University of Colorado Hospital, University of Colorado School of Medicine, Aurora, CO, USA.
Li ZhouDivision of General Internal Medicine & Primary Care, Brigham & Women's Hospital, Boston, MA, USA.

Funding

Clinical Informatics to Advance Epidemiology and Pharmacogenetics of Serious Cutaneous Adverse Drug ReactionsR01AI150295 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHOU, LI · 2019 to 2022
$2.8M
AHRQ HHS R01 HS022728AHRQ HHS R01 HS025375NIAID NIH HHS R01 AI150295
6 · The paper itself

Abstract

Allergy information is often documented in diverse sections of the electronic health record (EHR). Systematically reconciling allergy information across the EHR is critical to improve the accuracy and completeness of patients' allergy lists and ensure patient safety. In this retrospective cohort study, we examined the prevalence of incompleteness, inaccuracy, and redundancy of allergy information for patients with a clinical encounter at any Mass General Brigham facility between January 1, 2018 and December 31, 2018. We identified 4 key places in the EHR containing reconcilable allergy information: 1) allergy modules (including free text comments and duplicate allergen entries), 2) medication laboratory tests results, 3) oral medication allergy challenge tests, and 4) medication orders that have been discontinued due to adverse drug reactions (ADRs). Within our cohort, 718,315 (45.2% of the total 1,588,979) patients had an active allergy entry; of which, 266,275 (37.1%) patient's records indicated a need for reconciliation.

Indexed as

Drug HypersensitivityDrug-Related Side Effects and Adverse ReactionsAllergensElectronic Health RecordsHumansRetrospective StudiesAllergensAllergy and ImmunologyMedication ReconciliationNatural Language Processing

Identifiers

PMID35672983
PMCPMC12257484

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.